Artificial Neural Network for Response Inference of a Nonvolatile Resistance-Switch Array

Artificial Neural Network for Response Inference of a Nonvolatile Resistance-Switch Array

An artificial neural network was utilized in the behavior inference of a random crossbar array (10 × 9 or 28 × 27 in size) of nonvolatile binary resistance-switches (in a high resistance state (HRS) or low resistance state (LRS)) in response to a randomly applied voltage array. The...

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Bibliographic Details
Main Authors: Guhyun Kim, Vladimir Kornijcuk, Dohun Kim, Inho Kim, Cheol Seong Hwang, Doo Seok Jeong
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Micromachines
Subjects:
crossbar array
artificial neural network
multilayer perceptron
resistive random access memory (RRAM)
supervised learning
Online Access:https://www.mdpi.com/2072-666X/10/4/219

Internet

https://www.mdpi.com/2072-666X/10/4/219

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